Team Lead Data Scientist

We're looking for an experienced or aspiring Team Lead Data Scientist who would be responsible for one of our data science teams of 5-8 members.
Location
Prague

Intro about the position

We work on projects ranging from optimization of procedures happening in a cow milking robot through classification of radar data to analyzing processes on electron microscopes. We cooperate extensively with domain experts on the customer side throughout the whole process and especially as a team leader, you will get to explore many interesting domains.

Requirements

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    Expertise in data science (5+ years of working experience)
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    Perfect ability to decompose a high-level (and often vague) problem and break it down into subproblems and well-defined tasks
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    Soft skills: strong communication (written and oral), leadership, and negotiation skills
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    Keeping track of the data science community

We give extra points for

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    Strong knowledge of Python data science stack: pandas, numpy, scipy, matplotlib, seaborn, scikit-learn. (required to learn within the beginning of the job)
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    Interaction with the data science community (public talks, attendance at meetups, publishing articles/papers etc.)

Feel free to apply even if you don't match all requirements. You may bring other experience and skills to the table that will be valuable.

Your role

Your job will be to ensure effective team practices that lead to successful project deliveries and to ensure high standards of the data science solutions. You will use your data science experience to guide and lead your team members in the design of solutions.

You will take care of your team members whose experience ranges from freshly graduates to seniors well versed in data science. You will help them to get across any hurdles and facilitate their professional growth.

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    Lead a team of 5-8 data scientists
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    Ensure the team members follow the best practices and guidelines
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    Take part in team contributions (code base, architecture, specifications), consult others and review the design and architecture of individual projects and solutions within the team
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    Manage the team knowledge and its distribution, provide training that team members need
Testimonial ImageTestimonial Image
I enjoy working at Datamole because I can work on projects that actually matter. Working for agritech and manufacturing means that we can actually see and touch the results of our labor in the real world - which is a luxury many data scientists do not have.

Jirka

Data Scientist

Benefits we offer

What it's like to work at Datamole

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Family-like culture

We have good relationships based on trust, respect and transparent communication.
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6 weeks of vacation

Plus one more week for fresh fathers and 5 sick days to make sure you're well-rested.
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Flexible working hours

Both early birds and night owls are welcomed. Our core working hours are 10 AM - 3 PM.
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Team-building events 4x a year

We organize offsite summer & winter weekend events + multiple one-day sessions during the week.
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Free Czech & English lessons

We speak English (our company language), Czech (most people), and sometimes Czenglish ;)
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Projects with a real-world impact

Our projects improve animal health, reduce machine downtime or bring other tangible benefits.
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Comfy offices

Convenient location, carefully curated snacks & coffee, relax rooms, or a room to sleep in.
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Weekly knowledge sharing

Every Friday, we share our know-how mostly on technical topics via a 1-hour presentation.
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Non-work fun

We like to grab a drink, play board games, bike to Únětice or share travel experiences.

About us

We’re a Czech company of 70+ tech enthusiasts. We use our expertise in AI, data science, software engineering and UI to improve well-being of cows, reduce microscope downtime or help eliminate food waste.  

We've successfully implemented 100+ AI projects in industries such as agritech, manufacturing or biotech. We develop end-to-end custom solutions as well as ready-made platforms.

Datamole is built on and focused on family-like atmosphere. We're looking for new colleagues who enjoy friendly company culture and want to work on projects with a beneficial impact on the industry.

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